Machine Learning Research Scientist, Post-training

Scale

San Francisco, CA, US
Base: $252,000 - $315,000 usd; bonus/equity: equit...
On-site
Deep understanding of deep learning
Experience with rlhf and preference modeling
Expertise in llm post-training techniques
The role focuses on optimizing data curation and evaluation to enhance LLM capabilities in both text and multimodal modalities

Job Summary

  • The role focuses on optimizing data curation and evaluation to enhance LLM capabilities in both text and multimodal modalities.
  • Candidates will collaborate with researchers and engineers to define best practices in data-driven AI development and partner with top foundation model labs.
  • Compensation includes base salary ranging from $252,000 to $315,000 USD plus equity, comprehensive health benefits, and a learning stipend.

Matching Summary

The role focuses on optimizing data curation and evaluation to enhance LLM capabilities in both text and multimodal modalities.

Salary

Base: $252,000 - $315,000 USD; Bonus/Equity: Equity grant subject to Board approval; Benefits: Comprehensive health, dental, vision, retirement, learning stipend, PTO

Skills & Requirements

Must-have

  • Deep understanding of deep learning
  • Experience with RLHF and preference modeling
  • Expertise in LLM post-training techniques

Nice-to-have

  • Published research at major AI conferences
  • Previous experience in customer facing role
  • Excellent written and verbal communication skills

Key Requirements

  • Ph.D. or Master's degree in Computer Science or related field
  • Published research in machine learning at top-tier conferences

Work Rights

Not specified

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